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Parinaz Bashi Shahabi

Parinaz Bashi Shahabi

Iran University of Science and Technology, Iran

Title: Using multi attribute theory for making trade-offs between material, quality, cost and sustainable product development


Parinaz Bashi Shahabi is masters' student at Iran University of Science and Technology. She received her BSc degrees in department of metallurgy and material engineeringfrom Ferdowsi University of Mashhad. Her research activities and master's thesis include sustainable designs, product development. She has researched on synthesis of advanced materials andis interested on sustainability of final design by using environmental materials and increasing quality. She did several researches  on cost and quality of some advanced materials which are synthesized by her. She also did some works on steel’s friction spot welding by testing relative factors on welding which is strongly beneficial for environment, cost and quality of welding.


The decisions made during product development (PD) lock in 70–80% of the total product cost, and the quality of the product is also largely fixed. Therefore, decisions which are taken during the PD process have a great influence on product life cycle cost, quality and sustainability. The most important point of the PD process where trade-offs are made is in the concept phase when defining design specifications based on customer requirements. Developing a model to support trade-offs for sustainable PD is a significant concern for designers. This research attempts to consider these features simultaneously to make trade-offs between environmental issues and other customer requirements to select the best design specifications on their basis. In this research, sustainability is considered as a customer requirement, which then is translated into design specifications. Sustainable design is treated as an optimization problem to maximize value-added activities while minimizing environmental effects. A scoring model is defined to model sustainability, quality and cost in the PD process in order to find the optimum level of their combination therefore.